Evidence map›Paper›PMID 24917169›Full record

ArticleBiotechnology and bioengineering2014

A novel method for simulating insulin mediated GLUT4 translocation.

Andrew J Jezewski, Joshua J Larson, Beata Wysocki, Paul H Davis, Tadeusz Wysocki

Open access · greenAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Intravenous regular insulin is an efficient and safe procedure for obtaining high-quality cardiacJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Stochastic Simulation of Cellular Metabolism.IEEE access : practical innovations, open solutions · 2020
    Article
  8. Crosstalk in transition: the translocation of Akt.Journal of mathematical biology · 2019
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Andrew J Jezewski *Department of Biology, University of Nebraska at Omaha, Omaha, Nebraska.
Joshua J Larson *Department of Biology, University of Nebraska at Omaha, Omaha, Nebraska.
Beata WysockiDepartment of Engineering, University of Nebraska-Lincoln, 6001 Dodge St, 200 Peter Kiewit Institute, Omaha, Nebraska 68182-0572; twysocki2@unl.edu.
Paul H DavisDepartment of Biology, University of Nebraska at Omaha, Omaha, Nebraska.
Tadeusz WysockiDepartment of Engineering, University of Nebraska-Lincoln, 6001 Dodge St, 200 Peter Kiewit Institute, Omaha, Nebraska 68182-0572; twysocki2@unl.edu.
University of Nebraska at Omaha · USUniversity of Nebraska–Lincoln · US

Funding

UNMC Structural Biology CoreP20GM103427 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI PAUL L SORGEN · 2012 to 2026
$59.2M
ZINC FINGER-INSPIRED FLUORESCENT CHEMOSENSORSP20RR016469 · NCRR · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI EUDY, JAMES D · 2001 to 2011
$36.2M
NCRR NIH HHS P20 RR016469NIGMS NIH HHS P20 GM103427
6 · The paper itself

Abstract

Glucose transport in humans is a vital process which is tightly regulated by the endocrine system. Specifically, the insulin hormone triggers a cascade of intracellular signals in target cells mediating the uptake of glucose. Insulin signaling triggers cellular relocalization of the glucose transporter protein GLUT4 to the cell surface, which is primarily responsible for regulated glucose import. Pathology associated with the disruption of this pathway can lead to metabolic disorders, such as type II diabetes mellitus, characterized by the failure of cells to appropriately uptake glucose from the blood. We describe a novel simulation tool of the insulin intracellular response, incorporating the latest findings regarding As160 and GEF interactions. The simulation tool differs from previous computational approaches which employ algebraic or differential equations; instead, the tool incorporates statistical variations of kinetic constants and initial molecular concentrations which more accurately mimic the intracellular environment. Using this approach, we successfully recapitulate observed in vitro insulin responses, plus the effects of Wortmannin-like inhibition of the pathway. The developed tool provides insight into transient changes in molecule concentrations throughout the insulin signaling pathway, and may be employed to identify or evaluate potentially critical components of this pathway, including those associated with insulin resistance. In the future, this highly tractable platform may be useful for simulating other complex cell signaling pathways. Biotechnol. Bioeng. 2014;111: 2454-2465. © 2014 Wiley Periodicals, Inc.

Indexed as

Computer SimulationModels, BiologicalBiological TransportGlucose Transporter Type 4HumansInsulinSignal TransductionGlucose Transporter Type 4Insulincomputational modelingGLUT4insulinmetabolismqueuing theory

Identifiers

PMID24917169
PMCPMC4213344
OpenAlexW2141260861

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.